Abstract
The monitoring of urban slopes employing in-situ equipment seeks to avoid the loss of human lives midst emergency events like landslides. Cemaden (Brazilian National Centre for Monitoring and Early Warnings of Natural Disasters) has a pilot network of soil moisture and rain gauge stations located in urban slopes to understand, prevent, and mitigate landslides. Due to the large volume of data produced by this system there was a need for tools for data retrieval and visualization. This paper describes the Solam (Environmental Data Observation System) software which generates automated graphs that enable researchers to analyze and comprise data from soil moisture sensors and rain gauge stations. Those results allow to research moisture variations in six different sensor levels (from 0.5 m to 3 m deep) and precipitation indexes (hourly and accumulated rainfall) for the established period. This analysis will provide information to set critical environmental thresholds on base recorded landslides.
Highlights
Cemaden (Brazilian National Centre for Monitoring and Early Warnings of Natural Disasters) has a pilot network of soil moisture and rain gauge stations located in urban slopes to understand, prevent, and mitigate landslides
This paper describes the Solam (Environmental Data Observation System) software which generates automated graphs that enable researchers to analyze and comprise data from soil moisture sensors and rain gauge stations
The Data Collection Platform (DCP) and the profile must be chosen, each DCP currently has between 2 and 3 profiles installed with soil moisture sensors, so the user must select the profile of interest
Summary
Cemaden is a Federal Brazilian Institution responsible for monitoring and issuing natural disaster early warnings that subsidize safeguarding lives, and reducing the social, environmental, and economic vulnerability resulting from. The landslides monitored usually occur on urban slopes located in the most vulnerable areas, where the lower income population lives. To improve the early warning issuing a project was created to monitor soil moisture on slopes with high risk of landslides occurrence; Cemaden has installed 5 Data Collection Platform (DCP), in a test area in Campos do Jordão, São Paulo State, Brazil. Each DCP has a pluviometer and various profiles with sensors for different depths that allow determining the soil moisture This system measures the sensors, stores the measurements, and transmits the data to a receiving station. It was developed the Solam software that enables the automated and automatic treatment to understand the registered field data This text aims to present the features of the developed software and how to define critical values, as well as monitoring the environment in real time
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